Forecasting inland waterway grain traffic

Transportation Research Part E: Logistics and Transportation Review

Volumn 38, Issue 1, 2002, Pages 65-74

  Babcock, Michael W ^a   Lu, Xiaohua ^a  

^a KANSAS STATE UNIVERSITY   (United States)

Author keywords

Forecasting; Inland waterway transportation

Indexed keywords

CEREAL; FORECASTING METHOD; FREIGHT TRANSPORT; WATERWAY TRANSPORT;

MISSISSIPPI RIVER; UNITED STATES;

EID: 0036139591     PISSN: 13665545     EISSN: None     Source Type: Journal    
DOI: 10.1016/S1366-5545(01)00017-5     Document Type: Article

References (16)

1. Forecast of water carrier demand to 1985
2. Time series forecasting of quarterly railroad grain carloadings
3. Railcar and barge equipment needs for future US grain movement
4. A short-term adaptive forecasting model for BIFFEX speculation: A Box-Jenkings approach
5. A comparison of models for forecasting the Baltic Freight Index: Box-Jenkins revisited
6. Constant vs. time varying hedge ratios and hedging efficiency in the BIFFEX market
7. Forecasting tanker freight rates using neural networks
8. Time series forecasting of quarterly barge grain tonnage on the McClellan-Kerr Arkansas River navigation system
9. Multivariate autoregressive models for forecasting seaborne trade flows
10. Forecast of Canadian grain shipments through the St. Lawrence Seaway 1985-2000